20 beste Stellen als scientist in münchen, by – aktuell auf Personalsuche

Machine Learning Scientist
Nucs AI —München
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
Clinical Development Scientist
Philips —Unterschleißheim
- Vollzeit
- Azure
- Doktorat
- Forschungserfahrung
Senior Data Scientist with focus Biomarker Research (f/m/d - part/full-time)
Staburo GmbH —München
- Vollzeit
- Doktorat
- Datenanalyse
- Forschungserfahrung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Research Scientist - World Models
SpAItial —München
- Vollzeit
- Doktorat
- Informatik
- Python
Senior Machine Learning Engineer/ Research Scientist
Tools for Humanity —München
- Vollzeit
- Machine Learning
- Python
Senior Principal Applied Scientist (f/m/d)
Siemens —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Forschungserfahrung
- Master
Research Scientist Biochemistry with Focus Plate-Based Assays (gn)
Proteros biostructures GmbH —München
- Vollzeit
- Doktorat
- Englisch
Research Scientist Biologics (gn)
Proteros biostructures GmbH —München
- Vollzeit
- Doktorat
- Projektmanagement
- Wirtschaft
Data Scientist (M/W/D)
PAYBACK GmbH —München
- Englisch
- SQL
- Analysefähigkeit
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Artificial Intelligence for Video Compression - Research Scientist
Qualcomm —München
- 158.400 € – 237.600 € pro Jahr
- Informatik
- Doktorat
- Informatik
Computational Scientist – Biomarker Development (m/f/d)
Tubulis GmbH —Planegg
- Vollzeit
- Doktorat
- Datenanalyse
- Datenbanken
Direkt bewerben
Postdoc in Cancer Biology and/or Bioinformatics
Deutsches Krebsforschungszentrum —München
- Vollzeit
- Doktorat
- Datenanalyse
- Master
- Flexible Arbeitszeiten
Senior Medical Imaging Scientist (Ultrasound) (m/w/x)
ImFusion GmbH —München
- 70.000 € – 110.000 € pro Jahr
- Teilzeit
- Doktorat
- Informatik
- C++
- Flexible Arbeitszeiten
Direkt bewerben
PhD Student in Cancer Biology and/or Bioinformatics
Deutsches Krebsforschungszentrum —München
- Vollzeit
- Master
- Flexible Arbeitszeiten
Senior Data Scientist (m/w/d) mit Fokus AI
Skalar —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Datenbanken
Research Manager AI & Data, Simulation and Quantum (m/f/d)
TWT Science & Innovation —München
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Forschungserfahrung
Research Scientist Biochemistry with Focus Enzyme Complexes (gn)
Proteros biostructures GmbH —München
- Vollzeit
- Doktorat
- Englisch
- Forschungserfahrung
Geodata Scientist (m/w/d) im Geodata Lab der FfE
Forschungsstelle für Energiewirtschaft e.V. —München
- Per E-Mail
- Microsoft Excel
- SQL
- Machine Learning
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
4 Tage
Senior Quantitative UX Researcher, Material Design
Google —München
- 112.000 € – 115.000 € pro Jahr
- Vollzeit
- Doktorat
- Forschungserfahrung
- Master
Scientist (w/m/d)
BRÜGGEN ENGINEERING GmbH —München
- Vollzeit
- Doktorat
- Englisch
- Analytik
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten

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scientist jobs near münchen, by

Machine Learning Scientist

Nucs AI
München

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Doktorat
PyTorch
Forschungserfahrung
Machine Learning
Deep learning
Medizinische Bildverarbeitung
Python

Vollständige Stellenbeschreibung

About Nucs AI

Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we’re tackling one of medicine’s most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity.

We sit at the intersection of diagnostics and treatment planning—building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice.

Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. We’re venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity—moving with the rigor the medical field demands and the speed the problem deserves.

The Opportunity

Nucs AI is looking for a Machine Learning Scientist to deepen our ML research capabilities in clinical oncology. This is a senior, research-oriented role for someone who wants to develop novel approaches to medical image analysis, treatment outcome prediction, and multi-modal clinical data integration - and see those methods reach real clinical settings.

You’ll work at the intersection of ML research and clinical application, collaborating closely with physicians, medical physicists, and experienced engineers with deep domain expertise. Together, you’ll develop methods that are scientifically rigorous and clinically meaningful. Your work will directly shape our product capabilities and contribute to peer-reviewed science.

What You’ll Do

Research & Method Development

Develop novel ML/DL methods for medical image analysis, including segmentation, lesion detection, longitudinal tracking, treatment response prediction, and outcome modeling
Design and conduct experiments to evaluate new approaches against clinical baselines and state-of-the-art methods
Stay current with the literature and propose research directions that advance Nucs AI’s product and scientific goals
Publish findings in top-tier venues (MICCAI, RSNA, JNM, Medical Image Analysis) and represent Nucs AI at scientific conferences

Clinical Translation

Collaborate with clinicians and medical physicists to ensure methods are grounded in clinical reality
Produce validated research outputs with documented performance benchmarks and clear handoff specifications for production engineering
Contribute to clinical validation studies and evidence generation for regulatory submissions

External Engagement

Collaborate with external academic research partners on joint studies
Support scientific diligence with pharma and clinical partners
Contribute to Nucs AI's scientific credibility in the field

What You Bring

PhD in machine learning, computer vision, medical image analysis, biomedical engineering, or related field
Strong publication record in relevant venues (medical imaging, clinical ML, computer vision)
Experience structuring and executing research collaborations with academic and clinical institutions
Deep expertise in deep learning architectures for image analysis (CNNs, transformers, U-Nets, etc.)
Strong programming skills in Python and deep learning frameworks (PyTorch preferred)
Experience working with medical imaging data (PET/CT, MRI, or similar modalities)
Strong statistical foundations - experimental design, hypothesis testing, survival analysis, and clinical biostatistics

Bonus Points

Experience with nuclear medicine imaging & dosimetry (PSMA-PET, FDG-PET, SPECT)
Expertise in treatment outcome prediction, survival analysis, or longitudinal modeling
Experience with multi-modal data integration (imaging + clinical + genomic)
Familiarity with clinical trial design and regulatory evidence requirements
Prior industry experience translating research into deployed products
Experience with graph neural networks, molecular representations, or drug-response modeling
Experience with Generative AI in medical domain

Why Nucs AI

Mission with real impact – Your work directly improves how cancer patients are diagnosed and treated.
Ground-floor opportunity – Early-stage company, meaningful equity, and outsized influence on the direction we take.
World-class collaborators – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally.
Massive market tailwinds – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets.
Autonomy and flexibility – Remote-first, flexible working. We hire great people and trust them to deliver.
Equity upside – Competitive equity package. We’re building something big and want you to share in it.

How to Apply

Submit your resume and a brief note on why this role and Nucs AI excite you.

Equal Opportunity

Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Direkt bewerben

Erweiterte Suche

scientist Jobs in münchen, by

Machine Learning Scientist

Clinical Development Scientist

Senior Data Scientist with focus Biomarker Research (f/m/d - part/full-time)

Research Scientist - World Models

Senior Machine Learning Engineer/ Research Scientist

Senior Principal Applied Scientist (f/m/d)

Research Scientist Biochemistry with Focus Plate-Based Assays (gn)

Research Scientist Biologics (gn)

Data Scientist (M/W/D)

Artificial Intelligence for Video Compression - Research Scientist

Computational Scientist – Biomarker Development (m/f/d)

Postdoc in Cancer Biology and/or Bioinformatics

Senior Medical Imaging Scientist (Ultrasound) (m/w/x)

PhD Student in Cancer Biology and/or Bioinformatics

Senior Data Scientist (m/w/d) mit Fokus AI

Research Manager AI & Data, Simulation and Quantum (m/f/d)

Research Scientist Biochemistry with Focus Enzyme Complexes (gn)

Geodata Scientist (m/w/d) im Geodata Lab der FfE

Senior Quantitative UX Researcher, Material Design

Scientist (w/m/d)